When using different data algorithms, why is it fundamentally important to understand why they are being used?
If there are significant differences in the data output, how can this happen and why is it important to note the differences?
Who should determine which algorithm is “right” and the one to keep? Why?
Tag: Data mining
Data Mining
When using different data algorithms, why is it fundamentally important to understand why they are being used?
If there are significant differences in the data output, how can this happen and why is it important to note the differences?
Who should determine which algorithm is “right” and the one to keep? Why?
Data Mining
After reviewing the article by Naouma (2019), answer the following questions:
What is a false discovery rate?
Can a false discovery rate be completely avoided? Explain.
What was the outcome of the results of the use case?
Data Mining
How does data and classifying data impact data mining?
What is association in data mining?
Select a specific association rule (from the text) and thoroughly explain the key concepts.
Discuss cluster analysis concepts.
Explain what an anomaly is and how to avoid it.
Discuss methods to avoid false discoveries.
DATA MINING
Therefore, answer the following questions:
What are the various types of classifiers?
What is a rule-based classifier?
What is the difference between nearest neighbor and naïve bayes classifiers?
What is logistic regression?
Research
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Data mining
Consider the mean of a cluster of objects from a binary transaction data set. What are the minimum and maximum values of the components of the mean? What is the interpretation of components of the cluster mean? Which components most accurately characterize the objects in the cluster?
Data mining
Data mining is a process used by companies to turn raw data into useful information. Write a two-page APA-formatted paper, using a minimum of three peer-reviewed references explaining how software can help businesses learn more about their customers behavior to develop more effective marketing strategies, increase sales and decrease costs.
Data mining
Define data mining. Why are there many names and definitions for data mining ?
discussion question 2: What are the main reasons for the recent popularity of data mining ?
discussion question 3:Discuss what an organization should consider before making a decision to purchase data mining software.
discussion question 4: Distinguish data mining from other analytical tools and techniques.
discussion question 5: Discuss the main data mining methods. What are the fundamental differences among them ?
Chapter 5 exercise 1:
1. Visit teradatauniversitynetwork.com. identify case studies and white papers about data mining. Describe recent developments in the field.